Javascript must be enabled to continue!
A FinnGen pilot clinical recall study for Alzheimer’s disease
View through CrossRef
AbstractSuccessful development of novel therapies requires that clinical trials are conducted in patient cohorts with the highest benefit-to-risk ratio. Population-based biobanks with comprehensive health and genetic data from large numbers of individuals hold promise to facilitate identification of trial participants, particularly when interventions need to start while symptoms are still mild, such as for Alzheimer’s disease (AD). This study describes a process for clinical recall studies from FinnGen. We demonstrate the feasibility to systematically ascertain customized clinical data from FinnGen participants with ICD10 diagnosis of AD or mild cognitive disorder (MCD) in a single-center cross-sectional study testing blood-based biomarkers and cognitive functioning in-person, computer-based and remote. As a result, 19% (27/140) of a pre-specified FinnGen subcohort were successfully recalled and completed the study. Hospital records largely validated registry entries. For 8/12 MCD patients, other reasons than AD were identified as underlying diagnosis. Cognitive measures correlated across platforms, with highest consistencies for dementia screening (r = 0.818) and semantic fluency (r = 0.764), respectively, for in-person versus telephone-administered tests. Glial fibrillary acidic protein (GFAP) (p < 0.002) and phosphorylated-tau 181 (pTau-181) (p < 0.020) most reliably differentiated AD from MCD participants. We conclude that informative, customized clinical recall studies from FinnGen are feasible.
Springer Science and Business Media LLC
Valtteri Julkunen
Claudia Schwarz
Juho Kalapudas
Merja Hallikainen
Aino-Kaisa Piironen
Arto Mannermaa
Hanna Kujala
Timo Laitinen
Veli-Matti Kosma
Teemu I. Paajanen
Reetta Kälviäinen
Mikko Hiltunen
Sanna-Kaisa Herukka
Sari Kärkkäinen
Tarja Kokkola
Mia Urjansson
Hilkka Soininen
Sami Heikkinen
Tomi P. Mäkelä
Anastasia Kytölä
Andrea Ganna
Anu Jalanko
Aoxing Liu
Arto Lehisto
Awaisa Ghazal
Elina Kilpeläinen
Elisabeth Widen
Elmo Saarentaus
Esa Pitkänen
Hanna Ollila
Hannele Laivuori
Henrike Heyne
Huei-Yi Shen
Joel Rämö
Juha Karjalainen
Juha Mehtonen
Jyrki Pitkänen
Kalle Pärn
Katja Kivinen
Elisa L. Lahtela
Mari E. Niemi
Mari Kaunisto
Mart Kals
Mary Pat Reeve
Mervi Aavikko
Nina Mars
Oluwaseun Alexander Dada
Pietro Della Briotta Parolo
Priit Palta
Rigbe Weldatsadik
Risto Kajanne
Rodos Rodosthenous
Samuli Ripatti
Sanni Ruotsalainen
Satu Strausz
Shabbeer Hassan
Shanmukha Sampath Padmanabhuni
Shuang Luo
Susanna Lemmelä
Taru Tukiainen
Timo P. Sipilä
Tuomo Kiiskinen
Vincent Llorens
Juulia Partanen
Aki Havulinna
Jiwoo Lee
Kristin Tsuo
Mitja Kurki
Felix Vaura
Jaana Suvisaari
Teemu Niiranen
Veikko Salomaa
Chia-Yen Chen
Sally John
Sanni Lahdenperä
Stephanie Loomis
Susan Eaton
Adam Ziemann
Ali Abbasi
Anne Lehtonen
Apinya Lertratanakul
Bridget Riley-Gillis
Fedik Rahimov
Howard Jacob
Jeffrey Waring
Mengzhen Liu
Nizar Smaoui
Relja Popovic
Athena Matakidou
Benjamin Challis
Dirk Paul
Glenda Lassi
Ioanna Tachmazidou
Adam Platt
George Okafo
Heli Salminen-Mankonen
Marc Jung
Nathan Lawless
Zhihao Ding
Joseph Maranville
Marla Hochfeld
Robert Plenge
Shameek Biswas
David Choy
Edmond Teng
Erich Strauss
Hao Chen
Hubert Chen
Jennifer Schutzman
Julie Hunkapiller
Mark McCarthy
Natalie Bowers
Rion Pendergrass
Tim Lu
Janet Kumar
Margaret G. Ehm
David Pulford
Adriana Huertas-Vazquez
Caroline Fox
Jae-Hoon Sul
Neha Raghavan
Simonne Longerich
Anders Mälarstig
Heli Lehtonen
Jaakko Parkkinen
Kirsi Kalpala
Melissa Miller
Nan Bing
Stefan McDonough
Xinli Hu
Ying Wu
Clément Chatelain
Deepak Raipal
Katherine Klinger
Samuel Lessard
Eric Green
Robert Graham
Sahar Mozaffari
Robert Yang
Alessandro Porello
Amy Hart
Dawn Waterworth
Ekaterina Khramtsova
Karen He
Meijian Guan
Qingqin S. Li
Chris O’Donnell
Ma’en Obeidat
Nicole Renaud
Johanna Schleutker
Antti Hakanen
Nina Pitkänen
Perttu Terho
Petri Virolainen
Auli Toivola
Elina Järvensivu
Essi Kaiharju
Hannele Mattsson
Kati Kristiansson
Lotta Männikkö
Markku Laukkanen
Minna Brunfeldt
Päivi Laiho
Regis Wong
Sami Koskelainen
Sini Lähteenmäki
Sirpa Soini
Terhi Kilpi
Tero Hiekkalinna
Tuuli Sistonen
Jukka Partanen
Mikko Arvas
Anne Pitkäranta
Anu Loukola
Eero Punkka
Malla-Maria Linna
Olli Carpén
Taneli Raivio
Johannes Kettunen
Raisa Serpi
Reetta Hinttala
Tuomo Mantere
Eeva Kangasniemi
Henna Palin
Mika Kähönen
Sanna Siltanen
Tarja Laitinen
Jari Laukkanen
Teijo Kuopio
Johanna Mäkelä
Marco Hautalahti
Outi Tuovila
Raimo Pakkanen
Katriina Aalto-Setälä
Mark Daly
Amanda Elliott
Thomas Damm Als
Masahiro Kanai
Mutaamba Maasha
Wei Zhou
Kristiina Aittomäki
Antti Mäkitie
Natalia Pujol
Triin Laisk
Jarmo Ritari
Kati Hyvärinen
Audrey Chu
Diptee Kulkarni
Fanli Xu
Joanna Betts
John Eicher
Jorge Esparza Gordillo
Laura Addis
Linda McCarthy
Rajashree Mishra
Kirsi Auro
Joni A. Turunen
Aino Salminen
Antti Aarnisalo
Daniel Gordin
David Rice
Erkki Isometsä
Eveliina Salminen
Heikki Joensuu
Ilkka Kalliala
Johanna Mattson
Juha Sinisalo
Jukka Koskela
Kari Eklund
Katariina Hannula-Jouppi
Lauri Aaltonen
Marja-Riitta Taskinen
Martti Färkkilä
Minna Raivio
Oskari Heikinheimo
Paula Kauppi
Pekka Nieminen
Pentti Tienari
Pirkko Pussinen
Sampsa Pikkarainen
Terhi Ollila
Tiinamaija Tuomi
Timo Hiltunen
Tuomo Meretoja
Tuula Salo
Ulla Palotie
Antti Palomäki
Jenni Aittokallio
Juha Rinne
Kaj Metsärinne
Klaus Elenius
Laura Pirilä
Leena Koulu
Markku Voutilainen
Riitta Lahesmaa
Roosa Kallionpää
Sirkku Peltonen
Tytti Willberg
Ulvi Gursoy
Varpu Jokimaa
Kati Donner
Dermot Reilly
Sauli Vuoti
Andrey Loboda
Fabiana Farias
Jason Miller
Anne Remes
Elisa Rahikkala
Johanna Huhtakangas
Kaisa Tasanen
Laura Huilaja
Laure Morin-Papunen
Maarit Niinimäki
Marja Vääräsmäki
Outi Uimari
Peeter Karihtala
Terhi Piltonen
Terttu Harju
Timo Blomster
Vuokko Anttonen
Kai Kaarniranta
Liisa Suominen
Margit Pelkonen
Maria Siponen
Mikko Kiviniemi
Oili Kaipiainen-Seppänen
Päivi Auvinen
Päivi Mäntylä
Debby Ngo
Majd Mouded
Mike Mendelson
Annika Auranen
Airi Jussila
Argyro Bizaki-Vallaskangas
Hannu Uusitalo
Jukka Peltola
Jussi Hernesniemi
Katri Kaukinen
Laura Kotaniemi-Talonen
Pia Isomäki
Teea Salmi
Venla Kurra
Kirsi Sipilä
Fredrik Åberg
Hannu Kankaanranta
Tuula Palotie
Iiris Hovatta
Sanna Toppila-Salmi
Kimmo Palin
Niko Välimäki
Eija Laakkonen
Eija Laakkonen
Eeva Sliz
Heidi Silven
Katri Pylkäs
Minna Karjalainen
Riikka Arffman
Susanna Savukoski
Jaakko Tyrmi
Manuel Rivas
Harri Siirtola
Iida Vähätalo
Javier Garcia-Tabuenca
Marianna Niemi
Mika Helminen
Tiina Luukkaala
Markus Perola
Aarno Palotie
Eero Vuoksimaa
Heiko Runz
Title: A FinnGen pilot clinical recall study for Alzheimer’s disease
Description:
AbstractSuccessful development of novel therapies requires that clinical trials are conducted in patient cohorts with the highest benefit-to-risk ratio.
Population-based biobanks with comprehensive health and genetic data from large numbers of individuals hold promise to facilitate identification of trial participants, particularly when interventions need to start while symptoms are still mild, such as for Alzheimer’s disease (AD).
This study describes a process for clinical recall studies from FinnGen.
We demonstrate the feasibility to systematically ascertain customized clinical data from FinnGen participants with ICD10 diagnosis of AD or mild cognitive disorder (MCD) in a single-center cross-sectional study testing blood-based biomarkers and cognitive functioning in-person, computer-based and remote.
As a result, 19% (27/140) of a pre-specified FinnGen subcohort were successfully recalled and completed the study.
Hospital records largely validated registry entries.
For 8/12 MCD patients, other reasons than AD were identified as underlying diagnosis.
Cognitive measures correlated across platforms, with highest consistencies for dementia screening (r = 0.
818) and semantic fluency (r = 0.
764), respectively, for in-person versus telephone-administered tests.
Glial fibrillary acidic protein (GFAP) (p < 0.
002) and phosphorylated-tau 181 (pTau-181) (p < 0.
020) most reliably differentiated AD from MCD participants.
We conclude that informative, customized clinical recall studies from FinnGen are feasible.
Related Results
Penerapan Metode Convolutional Neural Network untuk Diagnosa Penyakit Alzheimer
Penerapan Metode Convolutional Neural Network untuk Diagnosa Penyakit Alzheimer
Abstract— Alzheimer's disease is a neurodegenerative disease that develops gradually, and is associated with cardiovascular and cerebrovascular problems. Alzheimer's is a serious d...
ATN status in amnestic and non-amnestic Alzheimer’s disease and frontotemporal lobar degeneration
ATN status in amnestic and non-amnestic Alzheimer’s disease and frontotemporal lobar degeneration
AbstractUnder the ATN framework, cerebrospinal fluid analytes provide evidence of the presence or absence of Alzheimer’s disease pathological hallmarks: amyloid plaques (A), phosph...
IOR Pilot Evaluation in a Brown-Field Fractured Reservoir Using Data Analytics of Reservoir Simulation Results
IOR Pilot Evaluation in a Brown-Field Fractured Reservoir Using Data Analytics of Reservoir Simulation Results
Abstract
A well-designed pilot is instrumental in reducing uncertainty for the full-field implementation of improved oil recovery (IOR) operations. Traditional model...
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Abstarct
Introduction
Isolated brain hydatid disease (BHD) is an extremely rare form of echinococcosis. A prompt and timely diagnosis is a crucial step in disease management. This ...
Center for Alzheimer Research at Karolinska Institutet, Sweden
Center for Alzheimer Research at Karolinska Institutet, Sweden
AbstractCenter for Alzheimer Research (CAR) is a hub for the research in Alzheimer’s disease and other dementias conducted at Karolinska Institutet (Stockholm, Sweden). CAR started...
Fuzzy logic‐based detection scheme for pilot fatigue
Fuzzy logic‐based detection scheme for pilot fatigue
PurposeThe paper aims to present the development of a detection scheme for pilot fatigue using fuzzy logic. Evaluation parameters based on the dynamic response of the pilot/aircraf...
Identification of Genetic Markers and Immune Infiltration Characteristics of Alzheimer’s Disease Through Weighted Gene Co-expression Network Analysis
Identification of Genetic Markers and Immune Infiltration Characteristics of Alzheimer’s Disease Through Weighted Gene Co-expression Network Analysis
Abstract
Background: Alzheimer disease (AD) is a long-term progressive neurodegeneration disease. Studies have shown that accumulation of epigenetic changes promotes the fo...
Uric acid mitigates cognitive deficits via transcription factor EB - mediated microglial autophagy in mice models of Alzheimer's disease
Uric acid mitigates cognitive deficits via transcription factor EB - mediated microglial autophagy in mice models of Alzheimer's disease
Abstract
Clinical trials have demonstrated the potential neuroprotective effects of uric acid in Alzheimer's disease. However, the specific mechanism underlying the neuropr...

